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    On “Field Significance” and the False Discovery Rate 

    Source: Journal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 009:;page 1181
    Author(s): Wilks, D. S.
    Publisher: American Meteorological Society
    Abstract: The conventional approach to evaluating the joint statistical significance of multiple hypothesis tests (i.e., ?field,? or ?global,? significance) in meteorology and climatology is to count the number of individual (or ...
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    Realizations of Daily Weather in Forecast Seasonal Climate 

    Source: Journal of Hydrometeorology:;2002:;Volume( 003 ):;issue: 002:;page 195
    Author(s): Wilks, D. S.
    Publisher: American Meteorological Society
    Abstract: Stochastic daily weather time series models (??weather generators??) are parameterized consistent with both local climate and probabilistic seasonal forecasts. Both single-station weather generators, and spatial networks ...
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    Projecting “Normals” in a Nonstationary Climate 

    Source: Journal of Applied Meteorology and Climatology:;2012:;volume( 052 ):;issue: 002:;page 289
    Author(s): Wilks, D. S.
    Publisher: American Meteorological Society
    Abstract: limate ?normals? are statistical estimates of present and/or near-future climate means for such quantities as seasonal temperature or precipitation. In a changing climate, simply averaging a large number of previous years ...
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    “The Stippling Shows Statistically Significant Grid Points”: How Research Results are Routinely Overstated and Overinterpreted, and What to Do about It 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 097 ):;issue: 012:;page 2263
    Author(s): Wilks, D. S.
    Publisher: American Meteorological Society
    Abstract: pecial care must be exercised in the interpretation of multiple statistical hypothesis tests?for example, when each of many tests corresponds to a different location. Correctly interpreting results of multiple simultaneous ...
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    Resampling Hypothesis Tests for Autocorrelated Fields 

    Source: Journal of Climate:;1997:;volume( 010 ):;issue: 001:;page 65
    Author(s): Wilks, D. S.
    Publisher: American Meteorological Society
    Abstract: Presently employed hypothesis tests for multivariate geophysical data (e.g., climatic fields) require the assumption that either the data are serially uncorrelated, or spatially uncorrelated, or both. Good methods have ...
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    Diagnostic Verification of the Climate Prediction Center Long-Lead Outlooks, 1995–98 

    Source: Journal of Climate:;2000:;volume( 013 ):;issue: 013:;page 2389
    Author(s): Wilks, D. S.
    Publisher: American Meteorological Society
    Abstract: The performance of the Climate Prediction Center?s long-lead forecasts for the period 1995?98 is assessed through a diagnostic verification, which involves examination of the full joint frequency distributions of the ...
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    Northern Hemisphere Snow Cover, Indo-Pacific SSTs, and Recent Trend as Statistical Predictors of Seasonal North American Temperature 

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 054 ):;issue: 001:;page 58
    Author(s): Wilks, D. S.
    Publisher: American Meteorological Society
    Abstract: aximum covariance analysis (MCA) forecasts of gridded seasonal North American temperatures are computed for January?March 1991 through February?April 2014, using as predictors Indo-Pacific sea surface temperatures (SSTs), ...
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    On Interpretation of Probabilistic Climate Forecasts 

    Source: Journal of Climate:;2000:;volume( 013 ):;issue: 011:;page 1965
    Author(s): Wilks, D. S.
    Publisher: American Meteorological Society
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    The Minimum Spanning Tree Histogram as a Verification Tool for Multidimensional Ensemble Forecasts 

    Source: Monthly Weather Review:;2004:;volume( 132 ):;issue: 006:;page 1329
    Author(s): Wilks, D. S.
    Publisher: American Meteorological Society
    Abstract: The minimum spanning tree (MST) histogram is a multivariate extension of the ideas behind the conventional scalar rank histogram. It tabulates the frequencies, over n forecast occasions, of the rank of the MST length for ...
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    On the Reliability of the Rank Histogram 

    Source: Monthly Weather Review:;2010:;volume( 139 ):;issue: 001:;page 311
    Author(s): Wilks, D. S.
    Publisher: American Meteorological Society
    Abstract: Ensemble consistency is a name for the condition that an observation being forecast by a dynamical ensemble is statistically indistinguishable from the ensemble members. This statistical indistinguishability condition is ...
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